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Population-averaged models have been increasingly used in the design and analysis of cluster randomized trials (CRTs). To facilitate the applications of population-averaged models in CRTs, the package implements the generalized estimating equations (GEE) and matrix-adjusted estimating equations (MAEE) approaches to jointly estimate the marginal mean models correlation models both for general CRTs and stepped wedge CRTs. Despite the general GEE/MAEE approach, the package also implements a fast cluster-period GEE method by Li et al. (2022) <doi:10.1093/biostatistics/kxaa056> specifically for stepped wedge CRTs with large and variable cluster-period sizes and gives a simple and efficient estimating equations approach based on the cluster-period means to estimate the intervention effects as well as correlation parameters. In addition, the package also provides functions for generating correlated binary data with specific mean vector and correlation matrix based on the multivariate probit method in Emrich and Piedmonte (1991) <doi:10.1080/00031305.1991.10475828> or the conditional linear family method in Qaqish (2003) <doi:10.1093/biomet/90.2.455>.
Version: | 1.1.3 |
Depends: | R (≥ 3.6.0) |
Imports: | MASS, rootSolve, mvtnorm |
Suggests: | knitr, rmarkdown |
Published: | 2024-02-19 |
DOI: | 10.32614/CRAN.package.geeCRT |
Author: | Hengshi Yu [aut, cre], Fan Li [aut], Paul Rathouz [aut], Elizabeth L. Turner [aut], John Preisser [aut] |
Maintainer: | Hengshi Yu <hengshi at umich.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | geeCRT results |
Reference manual: | geeCRT.pdf |
Vignettes: |
geeCRT package for the design and analysis of cluster randomized trials |
Package source: | geeCRT_1.1.3.tar.gz |
Windows binaries: | r-devel: geeCRT_1.1.3.zip, r-release: geeCRT_1.1.3.zip, r-oldrel: geeCRT_1.1.3.zip |
macOS binaries: | r-release (arm64): geeCRT_1.1.3.tgz, r-oldrel (arm64): geeCRT_1.1.3.tgz, r-release (x86_64): geeCRT_1.1.3.tgz, r-oldrel (x86_64): geeCRT_1.1.3.tgz |
Old sources: | geeCRT archive |
Please use the canonical form https://CRAN.R-project.org/package=geeCRT to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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